Giulia Di Teodoro

According to our database, Giulia Di Teodoro authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation.

Chiara D'Ercoli, Giulia Di Teodoro, Federico Siciliano

CoRR, June, 2025

A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1.

Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi

Comput. Medical Imaging Graph., 2025

IJCNN 2025 Competition: Learning with Noisy Graph Labels.

Farooq Ahmad Wani, Maria Sofia Bucarelli, Giulia Di Teodoro, Andrea Giuseppe Di Francesco

Proceedings of the International Joint Conference on Neural Networks, 2025

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling.

Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri

Proceedings of the International Joint Conference on Neural Networks, 2025

Comparing Recommendation Losses under Negative Sampling.

Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri

Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), 2025

Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models.

Giulia Di Teodoro, Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Toward personalized medicine and transparent decision-making with Machine Learning Models for complex diseases: a focus on HIV-1 and type 2 Diabetes.

Giulia Di Teodoro

PhD thesis, 2024

Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree.

Giulia Di Teodoro, Marta Monaci, Laura Palagi

EURO J. Comput. Optim., 2024

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1.

Giulia Di Teodoro, Martin Pirkl, Francesca Incardona, Ilaria Vicenti, Anders Sönnerborg, Rolf Kaiser, Laura Palagi, Maurizio Zazzi, Thomas Lengauer

Bioinform., 2024

2022

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes.

Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentili, Giorgio Grani, Maurizio Lenzerini, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi

CoRR, 2022